论文标题
实验室证明最佳识别和控制倾斜系统的控制
Laboratory Demonstration of Optimal Identification and Control of Tip-Tilt Systems
论文作者
论文摘要
我们介绍了测试最佳线性线性 - 季度高斯（LQG）控制对密封件（Santa Cruz Extreme AO实验室）测试的尖端和倾斜Zernike波前模式的控制。控制器采用了一个由预期的尖端/倾斜功率谱和振动峰进行调节的物理模型。该模型通过考虑循环延迟的效果和控制硬件的响应的效果，建立在类似的实现（例如Gemini Planet Imager的实现）上。使用快速大气的自相机技术（FAST）在密封仪上进行测试，并使用自定义的Python库来对齐光学器件，生成相互作用矩阵并通过将控制器与模拟的干扰信号相结合以校正。我们进行了开环数据收集，表征了自然基准动力学，并且由于积分器控制和LQG控制而显示RMS波前误差的降低。
We present the results of testing optimal linear-quadratic-Gaussian (LQG) control for tip and tilt Zernike wavefront modes on the SEAL (Santa cruz Extreme AO Lab) testbed. The controller employs a physics model conditioned by the expected tip/tilt power spectrum and vibration peaks. The model builds on similar implementations, such as that of the Gemini Planet Imager, by considering the effects of loop delays and the response of the control hardware. Tests are being performed on SEAL using the Fast Atmospheric Self-coherent camera Technique (FAST), and being executed using a custom Python library to align optics, generate interaction matrices, and perform real-time control by combining controllers with simulated disturbance signals to be corrected. We have carried out open-loop data collection, characterizing the natural bench dynamics, and have shown a reduction in RMS wavefront error due to integrator control and LQG control.
